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Corporate Social Responsibility in a Comparative Perspective

2009· book-chapter· en· W2159607894 on OpenAlexaff
Cynthia A. Williams, Ruth V. Aguilera

Bibliographic record

VenueOxford University Press eBooks · 2009
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsYork University
Fundersnot available
KeywordsCorporate social responsibilityStakeholderMultinational corporationCorporate governanceBusinessPerspective (graphical)AccountingStakeholder theoryPublic relationsSocial responsibilityPolitical scienceFinance

Abstract

fetched live from OpenAlex

Abstract Comparative studies of corporate social responsibility (CSR) are relatively rare, certainly as contrasted with other related fields, such as comparative corporate governance or comparative corporate law. This is to be expected in a field, such as CSR that is still ‘emergent’. While theoretical perspectives on corporate social performance or stakeholder management have been developed over two decades, it is only in the last decade that businesses have begun to exhibit serious evidence of CSR in their strategic management and stakeholder social reporting. This article goes on to explore how CSR can reflect wider national business and governance systems, such as market structures and rules, institutional norms, and respective responsibilities of governments, corporations and other social actors. A particularly exposed role, most notably for multinational corporations from the global north, is emerging for corporations in developing countries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0020.013
Scholarly communication0.0070.007
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.262
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations219
Published2009
Admission routes1
Has abstractyes

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